Oncology/Hematology

Other Cancers

Latest AI and machine learning research in other cancers for healthcare professionals.

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Deep Learning Prediction of Ovarian Malignancy at US Compared with O-RADS and Expert Assessment.

Background Deep learning (DL) algorithms could improve the classification of ovarian tumors assessed...

3D Kinect Camera Scheme with Time-Series Deep-Learning Algorithms for Classification and Prediction of Lung Tumor Motility.

This paper proposes a time-series deep-learning 3D Kinect camera scheme to classify the respiratory ...

Deep learning-based algorithm improved radiologists' performance in bone metastases detection on CT.

OBJECTIVES: To develop and evaluate a deep learning-based algorithm (DLA) for automatic detection of...

Non-Invasive Measurement Using Deep Learning Algorithm Based on Multi-Source Features Fusion to Predict PD-L1 Expression and Survival in NSCLC.

BACKGROUND: Programmed death-ligand 1 (PD-L1) assessment of lung cancer in immunohistochemical assay...

Effectiveness of Artificial Intelligence for Personalized Medicine in Neoplasms: A Systematic Review.

PURPOSE: Artificial intelligence (AI) techniques are used in precision medicine to explore novel gen...

Single utility port approach in robot-assisted sleeve segmentectomy for bronchial carcinoid tumor.

Bronchial carcinoid tumors are low-grade malignant and lung-sparing surgery is preferred for the rem...

Bayesian networks elucidate complex genomic landscapes in cancer.

Bayesian networks (BNs) are disciplined, explainable Artificial Intelligence models that can describ...

A two-stage deep learning architecture for radiographic staging of periodontal bone loss.

BACKGROUND: Radiographic periodontal bone loss is one of the most important basis for periodontitis ...

Deep learning for locally advanced nasopharyngeal carcinoma prognostication based on pre- and post-treatment MRI.

PURPOSE: We aimed to predict the prognosis of advanced nasopharyngeal carcinoma (stage â…¢-â…£a) using P...

Deep learning based on hematoxylin-eosin staining outperforms immunohistochemistry in predicting molecular subtypes of gastric adenocarcinoma.

In gastric cancer (GC), there are four molecular subclasses that indicate whether patients respond t...

Multi-Scale Attention Convolutional Network for Masson Stained Bile Duct Segmentation from Liver Pathology Images.

In clinical practice, the Ishak Score system would be adopted to perform the evaluation of the gradi...

Deep learning for prediction of hepatocellular carcinoma recurrence after resection or liver transplantation: a discovery and validation study.

BACKGROUND: There is a growing need for new improved classifiers of prognosis in hepatocellular carc...

Deep learning for evaluation of microvascular invasion in hepatocellular carcinoma from tumor areas of histology images.

BACKGROUND: Microvascular invasion (MVI) is essential for the management of hepatocellular carcinoma...

The Impact of Postoperative Renal Function Recovery after Laparoscopic and Robot-Assisted Partial Nephrectomy in Patients with Renal Cell Carcinoma.

Background and objectives: This study aimed to evaluate the association between warm ischemic time (...

Dose prediction via distance-guided deep learning: Initial development for nasopharyngeal carcinoma radiotherapy.

BACKGROUND AND PURPOSE: Geometric information such as distance information is essential for dose cal...

Models of Artificial Intelligence-Assisted Diagnosis of Lung Cancer Pathology Based on Deep Learning Algorithms.

In this article, in order to explore the application of a diagnosis system for lung cancer, we use a...

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